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\title{\LARGE Intelligent Agents for Playing Othello}

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\author{
\authorblockN{Paul Gross\textdagger, Vineet Gupta\S, Justin Luner\textdagger, Sean Reynolds\S}
\\
\authorblockA{\vspace{5mm}\small \textdagger \{grosspa, jluner\}@cse.wustl.edu, \S\{vineet.cs, seanreynoldscs\}@gmail.com \\
Washington University in St. Louis}
}

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\date{December 15, 2007}
\maketitle
\begin{abstract}
Othello has been a popular game for AI research.  In fact, the best computer players 
can easily default the world's best human players.  In this tradition we have built a 
framework and intelligent agents for playing othello.  We have implemented two interfaces
to the framework: a console for running simulated games between agents and a GUI 
for having a human play against an agent.  Additionally, we have built a number of
agents using different heuristics and some capitalizing on mini-max search 
with $\alpha\beta$ pruning.  To evaluate the agents' playing proficiency, we have 
simulated a tournament between the agents.

\end{abstract}

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\input{introduction}
\input{background}
\input{arch}
\input{search_algs}
\input{heuristics}
\input{evaluation}
\input{related_work}

\section{Conclusions and Implications}


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